Overview

Dataset statistics

Number of variables4
Number of observations144
Missing cells4
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory32.9 B

Variable types

Text3
DateTime1

Dataset

Description보건의료 지역보건 업무 관련 제주특별자치도 제주시 관내 소재한 한의원 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056082/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 4 (2.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:58:33.431289
Analysis finished2023-12-12 16:58:33.767841
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T01:58:34.003569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length5.8541667
Min length4

Characters and Unicode

Total characters843
Distinct characters165
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)98.6%

Sample

1st row솔담한방병원
2nd row예강한의원
3rd row웃음꽃피어나는약수당한의원
4th row경희동가원한의원
5th row광양한의원
ValueCountFrequency (%)
한의원 7
 
4.6%
정한의원 2
 
1.3%
양병준한의원 1
 
0.7%
삼정한의원 1
 
0.7%
명성한의원 1
 
0.7%
참한의원 1
 
0.7%
조은한의원 1
 
0.7%
밝은한의원 1
 
0.7%
용한의원 1
 
0.7%
세화한의원 1
 
0.7%
Other values (135) 135
88.8%
2023-12-13T01:58:34.475226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 152
18.0%
원 149
17.7%
의 146
17.3%
경 18
 
2.1%
희 18
 
2.1%
당 11
 
1.3%
제 11
 
1.3%
동 8
 
0.9%
8
 
0.9%
성 8
 
0.9%
Other values (155) 314
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 835
99.1%
Space Separator 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 152
18.2%
원 149
17.8%
의 146
17.5%
경 18
 
2.2%
희 18
 
2.2%
당 11
 
1.3%
제 11
 
1.3%
동 8
 
1.0%
성 8
 
1.0%
수 8
 
1.0%
Other values (154) 306
36.6%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 835
99.1%
Common 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 152
18.2%
원 149
17.8%
의 146
17.5%
경 18
 
2.2%
희 18
 
2.2%
당 11
 
1.3%
제 11
 
1.3%
동 8
 
1.0%
성 8
 
1.0%
수 8
 
1.0%
Other values (154) 306
36.6%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 835
99.1%
ASCII 8
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 152
18.2%
원 149
17.8%
의 146
17.5%
경 18
 
2.2%
희 18
 
2.2%
당 11
 
1.3%
제 11
 
1.3%
동 8
 
1.0%
성 8
 
1.0%
수 8
 
1.0%
Other values (154) 306
36.6%
ASCII
ValueCountFrequency (%)
8
100.0%

주소
Text

Distinct142
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T01:58:34.943177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.111111
Min length17

Characters and Unicode

Total characters2896
Distinct characters101
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)97.9%

Sample

1st row제주특별자치도 제주시 1100로 3055
2nd row제주특별자치도 제주시 연북로 42
3rd row제주특별자치도 제주시 중앙로 545
4th row제주특별자치도 제주시 과원로 36
5th row제주특별자치도 제주시 서광로28길 19
ValueCountFrequency (%)
제주특별자치도 144
23.6%
제주시 144
23.6%
서광로 12
 
2.0%
중앙로 11
 
1.8%
조천읍 8
 
1.3%
고마로 7
 
1.1%
한림읍 7
 
1.1%
구좌읍 6
 
1.0%
애월읍 6
 
1.0%
신북로 6
 
1.0%
Other values (188) 259
42.5%
2023-12-13T01:58:35.547735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
504
17.4%
주 291
 
10.0%
제 288
 
9.9%
도 148
 
5.1%
자 146
 
5.0%
특 144
 
5.0%
별 144
 
5.0%
치 144
 
5.0%
시 144
 
5.0%
로 125
 
4.3%
Other values (91) 818
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1994
68.9%
Space Separator 504
 
17.4%
Decimal Number 385
 
13.3%
Dash Punctuation 11
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 291
14.6%
제 288
14.4%
도 148
 
7.4%
자 146
 
7.3%
특 144
 
7.2%
별 144
 
7.2%
치 144
 
7.2%
시 144
 
7.2%
로 125
 
6.3%
길 30
 
1.5%
Other values (78) 390
19.6%
Decimal Number
ValueCountFrequency (%)
1 75
19.5%
2 52
13.5%
3 51
13.2%
4 39
10.1%
5 35
9.1%
7 34
8.8%
6 33
8.6%
0 27
 
7.0%
8 22
 
5.7%
9 17
 
4.4%
Space Separator
ValueCountFrequency (%)
504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1994
68.9%
Common 902
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 291
14.6%
제 288
14.4%
도 148
 
7.4%
자 146
 
7.3%
특 144
 
7.2%
별 144
 
7.2%
치 144
 
7.2%
시 144
 
7.2%
로 125
 
6.3%
길 30
 
1.5%
Other values (78) 390
19.6%
Common
ValueCountFrequency (%)
504
55.9%
1 75
 
8.3%
2 52
 
5.8%
3 51
 
5.7%
4 39
 
4.3%
5 35
 
3.9%
7 34
 
3.8%
6 33
 
3.7%
0 27
 
3.0%
8 22
 
2.4%
Other values (3) 30
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1994
68.9%
ASCII 902
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
504
55.9%
1 75
 
8.3%
2 52
 
5.8%
3 51
 
5.7%
4 39
 
4.3%
5 35
 
3.9%
7 34
 
3.8%
6 33
 
3.7%
0 27
 
3.0%
8 22
 
2.4%
Other values (3) 30
 
3.3%
Hangul
ValueCountFrequency (%)
주 291
14.6%
제 288
14.4%
도 148
 
7.4%
자 146
 
7.3%
특 144
 
7.2%
별 144
 
7.2%
치 144
 
7.2%
시 144
 
7.2%
로 125
 
6.3%
길 30
 
1.5%
Other values (78) 390
19.6%

전화번호
Text

MISSING 

Distinct140
Distinct (%)100.0%
Missing4
Missing (%)2.8%
Memory size1.3 KiB
2023-12-13T01:58:35.873416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1680
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)100.0%

Sample

1st row064-903-1087
2nd row064-711-8038
3rd row064-726-9988
4th row064-748-3375
5th row064-900-0450
ValueCountFrequency (%)
064-726-1077 1
 
0.7%
064-713-2288 1
 
0.7%
064-723-1059 1
 
0.7%
064-713-1075 1
 
0.7%
064-749-6655 1
 
0.7%
064-724-0770 1
 
0.7%
064-783-1075 1
 
0.7%
064-756-7588 1
 
0.7%
064-784-1075 1
 
0.7%
064-783-1548 1
 
0.7%
Other values (130) 130
92.9%
2023-12-13T01:58:36.309188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 280
16.7%
7 250
14.9%
0 241
14.3%
4 192
11.4%
6 184
11.0%
5 141
8.4%
2 104
 
6.2%
1 98
 
5.8%
8 72
 
4.3%
3 66
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1400
83.3%
Dash Punctuation 280
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 250
17.9%
0 241
17.2%
4 192
13.7%
6 184
13.1%
5 141
10.1%
2 104
7.4%
1 98
 
7.0%
8 72
 
5.1%
3 66
 
4.7%
9 52
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 280
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1680
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 280
16.7%
7 250
14.9%
0 241
14.3%
4 192
11.4%
6 184
11.0%
5 141
8.4%
2 104
 
6.2%
1 98
 
5.8%
8 72
 
4.3%
3 66
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 280
16.7%
7 250
14.9%
0 241
14.3%
4 192
11.4%
6 184
11.0%
5 141
8.4%
2 104
 
6.2%
1 98
 
5.8%
8 72
 
4.3%
3 66
 
3.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-09-07 00:00:00
Maximum2021-09-07 00:00:00
2023-12-13T01:58:36.448474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:36.536136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T01:58:33.638746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:58:33.727879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

의료기관명주소전화번호데이터기준일자
0솔담한방병원제주특별자치도 제주시 1100로 3055064-903-10872021-09-07
1예강한의원제주특별자치도 제주시 연북로 42064-711-80382021-09-07
2웃음꽃피어나는약수당한의원제주특별자치도 제주시 중앙로 545064-726-99882021-09-07
3경희동가원한의원제주특별자치도 제주시 과원로 36064-748-33752021-09-07
4광양한의원제주특별자치도 제주시 서광로28길 19064-900-04502021-09-07
5저지한의원제주특별자치도 제주시 한경면 녹차분재로 607-1064-773-20032021-09-07
6김녕경희한의원제주특별자치도 제주시 구좌읍 김녕로 95-1064-784-33752021-09-07
7김민범한의원제주특별자치도 제주시 노형로 373, 2064-746-79752021-09-07
8하늘체한의원제주특별자치도 제주시 노형14길 14064-900-75822021-09-07
9오렌지한의원제주특별자치도 제주시 서광로 167064-726-10772021-09-07
의료기관명주소전화번호데이터기준일자
134명가한의원제주특별자치도 제주시 수목원길 41064-755-36362021-09-07
135제주한의원제주특별자치도 제주시 정존13길 3064-749-44772021-09-07
136효성한의원제주특별자치도 제주시 중앙로 218064-758-00902021-09-07
137경희장수한의원제주특별자치도 제주시 과원북4길 5064-742-75852021-09-07
138진영미한의원제주특별자치도 제주시 동광로2길 1064-758-53532021-09-07
139이명철한의원제주특별자치도 제주시 서광로 192064-753-78872021-09-07
140장생한의원제주특별자치도 제주시 관덕로8길 17064-722-29552021-09-07
141수양한의원제주특별자치도 제주시 연수로3길 4064-757-20682021-09-07
142진한의원제주특별자치도 제주시 서사로11길 3064-753-60072021-09-07
143예감당한의원제주특별자치도 제주시 애월읍 하귀로 134064-749-04322021-09-07